AI Engineer
USD 100K-120K Senior-level Full Time
Tasks
- Automate diagnostics and remediation
- Build RAG pipelines with data quality validation
- Build agentic AI tool calling systems
- Deploy production ML systems and monitoring
- Develop LLM evaluation frameworks
- Enforce safety compliance and least privilege
- Implement deterministic fallbacks circuit breakers and rollback strategies
- Implement retrieval pipelines
- Instrument continuous evaluation for usefulness correctness and risk
- Integrate agents with observability and incident management
- Optimize cost and latency using prompt engineering and caching
- Validate against adversarial prompts and policy checks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Adversarial prompts | Algorithms | Amazon DynamoDB | Amazon Redshift | Amazon S3 | Amazon SageMaker | Applied statistics | Batch Processing | C++ | Change Orchestration | Circuit Breakers | CloudFormation | Data Processing | Data Processing Pipelines | Data Structures | Deterministic Fallbacks | Docker | ECS | EKS | Fine Tuning | Function Calling | Go | Incident Management | Infrastructure as Code | Java | LLM Evaluation | Language Models | Large Language Models | Least Privilege | Machine Learning | Model Deployment | Model Fine-tuning | Model Serving | Model routing | Observability | Parallel Tool Calls | Policy enforcement | Processing pipelines | Prompt Caching | Prompt Synthesis | Prompt engineering | Python | RAG | Response validation | Retrieval-Augmented Generation | Rollback strategies | Secure Action Execution | Self-correction | Step Functions | Streaming | Terraform | Tool calls | Tool-Calling | Vector Retrieval | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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